Article
Operation of the Egyptian Power Grid with Maximum Penetration Level of Renewable Energies Using Corona Virus Optimization Algorithm
Smart Cities
(2022)
Abstract
Abstract: Countries around the world are looking forward to fully sustainable energy by the middle
of the century to meet Paris climate agreement goals. This paper presents a novel algorithm to
optimally operate the Egyptian grid with maximum renewable power generation, minimum voltage
deviation and minimum power losses. The optimal operation is performed using Corona Virus
Algorithm (CVO). The proposed CVO is compared to the Teaching and Learning-Based Optimization
(TLBO) algorithm in terms of voltage deviation, power losses and share of renewable energies. The
real demand, solar irradiance and wind speed in typical winter and summer days are considered.
The 2020 Egyptian grid model is developed, simulated, and optimized using DIgSILENT software
application. The results have proved the effectiveness of the proposed CVO, compared to the TLBO,
to operate the grid with the highest share possible of renewables. The paper is a step forward to
achieve Egyptian government targets to reach 20% and 42% penetration level of renewable energies
by 2022 and 2035, respectively.
Keywords
- Penetration level,
- corona virus optimization,
- Egyptian grid,
- Benban photovoltaic park,
- Wind farms,
- Hydro power plants
Disciplines
Publication Date
March 1, 2022
DOI
https://www.mdpi.com/2624-6511/5/1/3/pdf
Citation Information
Hady H. Fayek , and Omar H. Abdalla: "Operation of the Egyptian Power Grid with Maximum Penetration Level of Renewable Energies Using Corona Virus Optimization Algorithm" Smart Cities, Vol. 5, No. 1, pp. 34-53, March 2022, https://doi.org/10.3390/smartcities5010003